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Abstract: In this paper, a primal-dual algorithm for TV-type image restoration is analyzed and tested. Analytically it turns out that employing a global L^s -regularization, with s > 1, in the dual problem results in a local smoothing of the TV-regularization term in the primal problem. The local smoothing can alternatively be obtained as the infimal convolution of the l_r-norm, with r^-1 + s^-1 = 1, and a smooth function. In the case r = s = 2, this results in Gauss-TV-type image restoration. The... (Update)
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BibTeX entry: (Update)
@misc{ hintermuller-infeasible,
author = "M. Hinterm{\"u}ller and G. Stadler",
title = "An Infeasible Primal-Dual Algorithm for {TV}-Based Inf-Convolution-Type Image
Restoration",
url = "citeseer.ist.psu.edu/706107.html" }
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